A Correlation Analysis Between Metabolism-related Genes and Treatment Response to S-1 as First-line Chemotherapy for Metastatic Breast Cancer: The SELECT BC-EURECA Study.


Journal

Clinical breast cancer
ISSN: 1938-0666
Titre abrégé: Clin Breast Cancer
Pays: United States
ID NLM: 100898731

Informations de publication

Date de publication:
10 2021
Historique:
received: 15 10 2020
revised: 07 01 2021
accepted: 27 01 2021
pubmed: 10 3 2021
medline: 5 2 2022
entrez: 9 3 2021
Statut: ppublish

Résumé

The previous randomized phase 3 trial (SELECT BC) showed that S-1 as a first-line chemotherapy for metastatic breast cancer (MBC) is non-inferior to taxane with respect to overall survival. This study aimed to identify the usefulness of metabolism-related genes as predictive biomarkers for the response to S-1 compared with taxane using tumor tissue samples from the previous trial.   PATIENTS AND METHODS: In this SELECT BC-EURECA study, 147 patients with human epidermal growth factor 2 (HER2)-negative MBC who received either S-1 or taxane were evaluated. Formalin-fixed paraffin-embedded specimens were collected, and 14 genes involved in the pyrimidine metabolic pathway, estrogen receptor, progesterone receptor, HER2, Ki67, and beta-tubulin were measured using reverse transcription polymerase chain reaction in microdissected tumor specimens. The expression of each gene was categorized as low, intermediate, and high by tertile values.   RESULTS: Interaction tests to identify biomarkers for the response to S-1 compared with taxane, revealed the following as the top 3 biomarkers: RRM1 (P value = 0.24), GGH (P value = 0.25), and MTHFR (P value = 0.28). In the S-1 group, lower GGH and higher MTHFR expression were significantly correlated with better time to treatment failure. In the taxane group, there was no gene that was identified as a significant indicator of treatment failure. This biomarker analysis from SELECT BC did not identify any predictive biomarkers for the response to S-1 compared with taxane. Future studies with larger sample size and information on not only mRNA, but also protein and DNA for broad functional analyses are needed.

Identifiants

pubmed: 33685834
pii: S1526-8209(21)00040-9
doi: 10.1016/j.clbc.2021.01.018
pii:
doi:

Substances chimiques

Antimetabolites, Antineoplastic 0
Drug Combinations 0
Receptors, Estrogen 0
S 1 (combination) 150863-82-4
Tegafur 1548R74NSZ
Oxonic Acid 5VT6420TIG
Receptor, ErbB-2 EC 2.7.10.1

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

450-457

Informations de copyright

Copyright © 2021. Published by Elsevier Inc.

Auteurs

Tsutomu Takashima (T)

Osaka City University Graduate School of Medicine, Osaka, Japan.

Fumikata Hara (F)

Cancer Institute Hospital of JFCR, Tokyo, Japan.

Takayuki Iwamoto (T)

Okayama University Hospital, Okayama, Japan. Electronic address: tiwamoto@cc.okayama-u.ac.jp.

Yukari Uemura (Y)

National Center for Global Health and Medicine, Tokyo, Japan.

Shozo Ohsumi (S)

NHO Shikoku Cancer Center, Matsuyama, Japan.

Daisuke Yotsumoto (D)

Sagara Hospital Miyazaki, Social Medical Corporation Miyazaki Hakuaikai, Miyazaki, Japan.

Yasuo Hozumi (Y)

University of Tsukuba Hospital, Tsukuba/Ibaraki Prefectural Central Hospital, Kasama, Japan.

Takanori Watanabe (T)

NHO Sendai Medical Center, Sendai, Japan.

Tsuyoshi Saito (T)

Japanese Red Cross Saitama Hospital, Saitama, Japan.

Ken-Ichi Watanabe (KI)

NHO Hokkaido Cancer Center, Hokkaido, Japan.

Junji Tsurutani (J)

Showa University, Tokyo, Japan.

Tatsuya Toyama (T)

Nagoya City University Hospital, Nagoya, Japan.

Hiromitsu Akabane (H)

Hokkaido P.W.F.A.C. Asahikawa-Kosei General Hospital, Asahikawa, Japan.

Reiki Nishimura (R)

Kumamoto Shinto General Hospital, Kumamoto, Japan.

Naruto Taira (N)

Okayama University Hospital, Okayama, Japan.

Yasuo Ohashi (Y)

Chuo University, Tokyo, Japan.

Hirofumi Mukai (H)

National Cancer Center Hospital East, Kashiwa, Japan.

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Classifications MeSH